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AwarenessAI Launches Generative Engine Optimisation Analysis for AI Search and Recommendation System
TelAve News/10886302
New analysis examines how AI systems represent, rank, and recommend brands in generative responses
LEEDS, U.K. - TelAve -- AwarenessAI helps businesses become the brands AI systems understand, trust, and recommend through Generative Engine Optimisation (GEO). Our AI Recommendation Optimisation (AIRO) methodology improves how companies are represented and ranked by AI tools including ChatGPT, Google Gemini, and Perplexity.
As generative AI systems increasingly replace traditional search and discovery, brands are now being summarised, compared, and positioned by AI models before any direct interaction with customers takes place. These systems do not evaluate authority or credibility directly. Instead, they infer trust through signals such as consensus, repetition, retrieval ranking, and narrative consistency across public sources.
AwarenessAI addresses this shift by providing structured AI visibility and representation analysis. The consultancy conducts repeated, identical prompt testing across multiple leading generative AI models to observe how organisations are described, whether they are included in recommendations, and how their positioning changes over time.
More on TelAve News
The analysis focuses on AI specific factors including brand inclusion, comparative ranking, descriptive framing, and inferred trust signals. Findings are presented as observational results rather than claims of performance or endorsement.
AwarenessAI has released a free AI visibility scan designed to show how organisations currently appear within generative AI responses. The scan highlights whether a brand is visible, accurately described, and contextually recommended when users ask AI systems for guidance.
This work is intended to support organisations seeking clarity on how generative systems interpret publicly available information, and whether corrective action is required to improve representation, consistency, and trust within AI generated outputs.
More information about AI visibility analysis and Generative Engine Optimisation is available at https://www.awarenessai.co.uk
Contact:
AwarenessAI
United Kingdom
https://www.awarenessai.co.uk
As generative AI systems increasingly replace traditional search and discovery, brands are now being summarised, compared, and positioned by AI models before any direct interaction with customers takes place. These systems do not evaluate authority or credibility directly. Instead, they infer trust through signals such as consensus, repetition, retrieval ranking, and narrative consistency across public sources.
AwarenessAI addresses this shift by providing structured AI visibility and representation analysis. The consultancy conducts repeated, identical prompt testing across multiple leading generative AI models to observe how organisations are described, whether they are included in recommendations, and how their positioning changes over time.
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The analysis focuses on AI specific factors including brand inclusion, comparative ranking, descriptive framing, and inferred trust signals. Findings are presented as observational results rather than claims of performance or endorsement.
AwarenessAI has released a free AI visibility scan designed to show how organisations currently appear within generative AI responses. The scan highlights whether a brand is visible, accurately described, and contextually recommended when users ask AI systems for guidance.
This work is intended to support organisations seeking clarity on how generative systems interpret publicly available information, and whether corrective action is required to improve representation, consistency, and trust within AI generated outputs.
More information about AI visibility analysis and Generative Engine Optimisation is available at https://www.awarenessai.co.uk
Contact:
AwarenessAI
United Kingdom
https://www.awarenessai.co.uk
Source: AwarenessAI
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